{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-title"
    ]
   },
   "source": [
    "# k-Nearest Neighbor (kNN) exercise\n",
    "\n",
    "*Complete and hand in this completed worksheet (including its outputs and any supporting code outside of the worksheet) with your assignment submission. For more details see the [assignments page](http://vision.stanford.edu/teaching/cs231n/assignments.html) on the course website.*\n",
    "\n",
    "The kNN classifier consists of two stages:\n",
    "\n",
    "- During training, the classifier takes the training data and simply remembers it\n",
    "- During testing, kNN classifies every test image by comparing to all training images and transfering the labels of the k most similar training examples\n",
    "- The value of k is cross-validated\n",
    "\n",
    "In this exercise you will implement these steps and understand the basic Image Classification pipeline, cross-validation, and gain proficiency in writing efficient, vectorized code."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "# Run some setup code for this notebook.\n",
    "\n",
    "import random\n",
    "import numpy as np\n",
    "from cs231n.data_utils import load_CIFAR10\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# This is a bit of magic to make matplotlib figures appear inline in the notebook\n",
    "# rather than in a new window.\n",
    "%matplotlib inline\n",
    "plt.rcParams['figure.figsize'] = (10.0, 8.0) # set default size of plots\n",
    "plt.rcParams['image.interpolation'] = 'nearest'\n",
    "plt.rcParams['image.cmap'] = 'gray'\n",
    "\n",
    "# Some more magic so that the notebook will reload external python modules;\n",
    "# see http://stackoverflow.com/questions/1907993/autoreload-of-modules-in-ipython\n",
    "%load_ext autoreload\n",
    "%autoreload 2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Training data shape:  (50000, 32, 32, 3)\n",
      "Training labels shape:  (50000,)\n",
      "Test data shape:  (10000, 32, 32, 3)\n",
      "Test labels shape:  (10000,)\n"
     ]
    }
   ],
   "source": [
    "# Load the raw CIFAR-10 data.\n",
    "cifar10_dir = 'cs231n/datasets/cifar-10-batches-py'\n",
    "\n",
    "# Cleaning up variables to prevent loading data multiple times (which may cause memory issue)\n",
    "try:\n",
    "   del X_train, y_train\n",
    "   del X_test, y_test\n",
    "   print('Clear previously loaded data.')\n",
    "except:\n",
    "   pass\n",
    "\n",
    "X_train, y_train, X_test, y_test = load_CIFAR10(cifar10_dir)\n",
    "\n",
    "# As a sanity check, we print out the size of the training and test data.\n",
    "print('Training data shape: ', X_train.shape)\n",
    "print('Training labels shape: ', y_train.shape)\n",
    "print('Test data shape: ', X_test.shape)\n",
    "print('Test labels shape: ', y_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 720x576 with 70 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Visualize some examples from the dataset.\n",
    "# We show a few examples of training images from each class.\n",
    "classes = ['plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck']\n",
    "num_classes = len(classes)\n",
    "samples_per_class = 7\n",
    "for y, cls in enumerate(classes):\n",
    "    idxs = np.flatnonzero(y_train == y)\n",
    "    idxs = np.random.choice(idxs, samples_per_class, replace=False)\n",
    "    for i, idx in enumerate(idxs):\n",
    "        plt_idx = i * num_classes + y + 1\n",
    "        plt.subplot(samples_per_class, num_classes, plt_idx)\n",
    "        plt.imshow(X_train[idx].astype('uint8'))\n",
    "        plt.axis('off')\n",
    "        if i == 0:\n",
    "            plt.title(cls)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(5000, 3072) (500, 3072)\n"
     ]
    }
   ],
   "source": [
    "# Subsample the data for more efficient code execution in this exercise\n",
    "num_training = 5000\n",
    "mask = list(range(num_training))\n",
    "X_train = X_train[mask]\n",
    "y_train = y_train[mask]\n",
    "\n",
    "num_test = 500\n",
    "mask = list(range(num_test))\n",
    "X_test = X_test[mask]\n",
    "y_test = y_test[mask]\n",
    "\n",
    "# Reshape the image data into rows\n",
    "X_train = np.reshape(X_train, (X_train.shape[0], -1))\n",
    "X_test = np.reshape(X_test, (X_test.shape[0], -1))\n",
    "print(X_train.shape, X_test.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "tags": [
     "pdf-ignore"
    ]
   },
   "outputs": [],
   "source": [
    "from cs231n.classifiers import KNearestNeighbor\n",
    "\n",
    "# Create a kNN classifier instance. \n",
    "# Remember that training a kNN classifier is a noop: \n",
    "# the Classifier simply remembers the data and does no further processing \n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We would now like to classify the test data with the kNN classifier. Recall that we can break down this process into two steps: \n",
    "\n",
    "1. First we must compute the distances between all test examples and all train examples. \n",
    "2. Given these distances, for each test example we find the k nearest examples and have them vote for the label\n",
    "\n",
    "Lets begin with computing the distance matrix between all training and test examples. For example, if there are **Ntr** training examples and **Nte** test examples, this stage should result in a **Nte x Ntr** matrix where each element (i,j) is the distance between the i-th test and j-th train example.\n",
    "\n",
    "**Note: For the three distance computations that we require you to implement in this notebook, you may not use the np.linalg.norm() function that numpy provides.**\n",
    "\n",
    "First, open `cs231n/classifiers/k_nearest_neighbor.py` and implement the function `compute_distances_two_loops` that uses a (very inefficient) double loop over all pairs of (test, train) examples and computes the distance matrix one element at a time."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 5000)\n"
     ]
    }
   ],
   "source": [
    "# Open cs231n/classifiers/k_nearest_neighbor.py and implement\n",
    "# compute_distances_two_loops.\n",
    "\n",
    "# Test your implementation:\n",
    "dists = classifier.compute_distances_two_loops(X_test)\n",
    "print(dists.shape)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# We can visualize the distance matrix: each row is a single test example and\n",
    "# its distances to training examples\n",
    "plt.imshow(dists, interpolation='none')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 1** \n",
    "\n",
    "Notice the structured patterns in the distance matrix, where some rows or columns are visible brighter. (Note that with the default color scheme black indicates low distances while white indicates high distances.)\n",
    "\n",
    "- What in the data is the cause behind the distinctly bright rows?\n",
    "- What causes the columns?\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$ *fill this in.*\n",
    "亮的行表示该行对应的测试数据和所有的训练数据的欧式距离都比较大。\n",
    "亮的列表示该列对应的训练数据和所有的测试数据的欧氏距离都比较大。\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 137 / 500 correct => accuracy: 0.274000\n"
     ]
    }
   ],
   "source": [
    "# Now implement the function predict_labels and run the code below:\n",
    "# We use k = 1 (which is Nearest Neighbor).\n",
    "y_test_pred = classifier.predict_labels(dists, k=1)\n",
    "print(len(y_test_pred))\n",
    "\n",
    "# Compute and print the fraction of correctly predicted examples\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see approximately `27%` accuracy. Now lets try out a larger `k`, say `k = 5`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 145 / 500 correct => accuracy: 0.290000\n"
     ]
    }
   ],
   "source": [
    "y_test_pred = classifier.predict_labels(dists, k=5)\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should expect to see a slightly better performance than with `k = 1`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 2**\n",
    "\n",
    "We can also use other distance metrics such as L1 distance.\n",
    "For pixel values $p_{ij}^{(k)}$ at location $(i,j)$ of some image $I_k$, \n",
    "\n",
    "the mean $\\mu$ across all pixels over all images is $$\\mu=\\frac{1}{nhw}\\sum_{k=1}^n\\sum_{i=1}^{h}\\sum_{j=1}^{w}p_{ij}^{(k)}$$\n",
    "And the pixel-wise mean $\\mu_{ij}$ across all images is \n",
    "$$\\mu_{ij}=\\frac{1}{n}\\sum_{k=1}^np_{ij}^{(k)}.$$\n",
    "The general standard deviation $\\sigma$ and pixel-wise standard deviation $\\sigma_{ij}$ is defined similarly.\n",
    "\n",
    "Which of the following preprocessing steps will not change the performance of a Nearest Neighbor classifier that uses L1 distance? Select all that apply.\n",
    "1. Subtracting the mean $\\mu$ ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu$.)\n",
    "2. Subtracting the per pixel mean $\\mu_{ij}$  ($\\tilde{p}_{ij}^{(k)}=p_{ij}^{(k)}-\\mu_{ij}$.)\n",
    "3. Subtracting the mean $\\mu$ and dividing by the standard deviation $\\sigma$.\n",
    "4. Subtracting the pixel-wise mean $\\mu_{ij}$ and dividing by the pixel-wise standard deviation $\\sigma_{ij}$.\n",
    "5. Rotating the coordinate axes of the data.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "1,2,5不会改变使用L1距离计算的KNN分类器结果；3,4在标准差不为0时将会改变L1距离计算的KNN分类器结果。\n",
    "\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n",
    "1,2中两个对应的像素点减去相同的值不改变它们差的绝对值；5中旋转图像也不改变差的绝对值；3,4中有一个分母，如果分母不为1，则差的绝对值会改变。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "One loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now lets speed up distance matrix computation by using partial vectorization\n",
    "# with one loop. Implement the function compute_distances_one_loop and run the\n",
    "# code below:\n",
    "dists_one = classifier.compute_distances_one_loop(X_test)\n",
    "\n",
    "# To ensure that our vectorized implementation is correct, we make sure that it\n",
    "# agrees with the naive implementation. There are many ways to decide whether\n",
    "# two matrices are similar; one of the simplest is the Frobenius norm. In case\n",
    "# you haven't seen it before, the Frobenius norm of two matrices is the square\n",
    "# root of the squared sum of differences of all elements; in other words, reshape\n",
    "# the matrices into vectors and compute the Euclidean distance between them.\n",
    "difference = np.linalg.norm(dists - dists_one, ord='fro')\n",
    "print('One loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "scrolled": true,
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No loop difference was: 0.000000\n",
      "Good! The distance matrices are the same\n"
     ]
    }
   ],
   "source": [
    "# Now implement the fully vectorized version inside compute_distances_no_loops\n",
    "# and run the code\n",
    "dists_two = classifier.compute_distances_no_loops(X_test)\n",
    "\n",
    "# check that the distance matrix agrees with the one we computed before:\n",
    "difference = np.linalg.norm(dists - dists_two, ord='fro')\n",
    "print('No loop difference was: %f' % (difference, ))\n",
    "if difference < 0.001:\n",
    "    print('Good! The distance matrices are the same')\n",
    "else:\n",
    "    print('Uh-oh! The distance matrices are different')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Two loop version took 47.638577 seconds\n",
      "One loop version took 39.813441 seconds\n",
      "No loop version took 0.335068 seconds\n"
     ]
    }
   ],
   "source": [
    "# Let's compare how fast the implementations are\n",
    "def time_function(f, *args):\n",
    "    \"\"\"\n",
    "    Call a function f with args and return the time (in seconds) that it took to execute.\n",
    "    \"\"\"\n",
    "    import time\n",
    "    tic = time.time()\n",
    "    f(*args)\n",
    "    toc = time.time()\n",
    "    return toc - tic\n",
    "\n",
    "two_loop_time = time_function(classifier.compute_distances_two_loops, X_test)\n",
    "print('Two loop version took %f seconds' % two_loop_time)\n",
    "\n",
    "one_loop_time = time_function(classifier.compute_distances_one_loop, X_test)\n",
    "print('One loop version took %f seconds' % one_loop_time)\n",
    "\n",
    "no_loop_time = time_function(classifier.compute_distances_no_loops, X_test)\n",
    "print('No loop version took %f seconds' % no_loop_time)\n",
    "\n",
    "# You should see significantly faster performance with the fully vectorized implementation!\n",
    "\n",
    "# NOTE: depending on what machine you're using, \n",
    "# you might not see a speedup when you go from two loops to one loop, \n",
    "# and might even see a slow-down."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Cross-validation\n",
    "\n",
    "We have implemented the k-Nearest Neighbor classifier but we set the value k = 5 arbitrarily. We will now determine the best value of this hyperparameter with cross-validation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {
    "tags": [
     "code"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "k = 1, accuracy = 0.263000\n",
      "k = 1, accuracy = 0.257000\n",
      "k = 1, accuracy = 0.264000\n",
      "k = 1, accuracy = 0.278000\n",
      "k = 1, accuracy = 0.266000\n",
      "k = 3, accuracy = 0.257000\n",
      "k = 3, accuracy = 0.263000\n",
      "k = 3, accuracy = 0.273000\n",
      "k = 3, accuracy = 0.282000\n",
      "k = 3, accuracy = 0.270000\n",
      "k = 5, accuracy = 0.265000\n",
      "k = 5, accuracy = 0.275000\n",
      "k = 5, accuracy = 0.295000\n",
      "k = 5, accuracy = 0.298000\n",
      "k = 5, accuracy = 0.284000\n",
      "k = 8, accuracy = 0.272000\n",
      "k = 8, accuracy = 0.295000\n",
      "k = 8, accuracy = 0.284000\n",
      "k = 8, accuracy = 0.298000\n",
      "k = 8, accuracy = 0.290000\n",
      "k = 10, accuracy = 0.272000\n",
      "k = 10, accuracy = 0.303000\n",
      "k = 10, accuracy = 0.289000\n",
      "k = 10, accuracy = 0.292000\n",
      "k = 10, accuracy = 0.285000\n",
      "k = 12, accuracy = 0.271000\n",
      "k = 12, accuracy = 0.305000\n",
      "k = 12, accuracy = 0.285000\n",
      "k = 12, accuracy = 0.289000\n",
      "k = 12, accuracy = 0.281000\n",
      "k = 15, accuracy = 0.260000\n",
      "k = 15, accuracy = 0.302000\n",
      "k = 15, accuracy = 0.292000\n",
      "k = 15, accuracy = 0.292000\n",
      "k = 15, accuracy = 0.285000\n",
      "k = 20, accuracy = 0.268000\n",
      "k = 20, accuracy = 0.293000\n",
      "k = 20, accuracy = 0.291000\n",
      "k = 20, accuracy = 0.287000\n",
      "k = 20, accuracy = 0.286000\n",
      "k = 50, accuracy = 0.273000\n",
      "k = 50, accuracy = 0.291000\n",
      "k = 50, accuracy = 0.274000\n",
      "k = 50, accuracy = 0.267000\n",
      "k = 50, accuracy = 0.273000\n",
      "k = 100, accuracy = 0.261000\n",
      "k = 100, accuracy = 0.272000\n",
      "k = 100, accuracy = 0.267000\n",
      "k = 100, accuracy = 0.260000\n",
      "k = 100, accuracy = 0.267000\n"
     ]
    }
   ],
   "source": [
    "num_folds = 5\n",
    "k_choices = [1, 3, 5, 8, 10, 12, 15, 20, 50, 100]\n",
    "\n",
    "X_train_folds = []\n",
    "y_train_folds = []\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Split up the training data into folds. After splitting, X_train_folds and    #\n",
    "# y_train_folds should each be lists of length num_folds, where                #\n",
    "# y_train_folds[i] is the label vector for the points in X_train_folds[i].     #\n",
    "# Hint: Look up the numpy array_split function.                                #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# print(X_train.shape)\n",
    "# print(y_train.shape)\n",
    "X_train_folds = np.array(np.array_split(X_train, num_folds))\n",
    "y_train_folds = np.array(np.array_split(y_train, num_folds))\n",
    "# print(X_train_folds.shape)\n",
    "# print(y_train_folds.shape)\n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# A dictionary holding the accuracies for different values of k that we find\n",
    "# when running cross-validation. After running cross-validation,\n",
    "# k_to_accuracies[k] should be a list of length num_folds giving the different\n",
    "# accuracy values that we found when using that value of k.\n",
    "k_to_accuracies = {}\n",
    "\n",
    "\n",
    "################################################################################\n",
    "# TODO:                                                                        #\n",
    "# Perform k-fold cross validation to find the best value of k. For each        #\n",
    "# possible value of k, run the k-nearest-neighbor algorithm num_folds times,   #\n",
    "# where in each case you use all but one of the folds as training data and the #\n",
    "# last fold as a validation set. Store the accuracies for all fold and all     #\n",
    "# values of k in the k_to_accuracies dictionary.                               #\n",
    "################################################################################\n",
    "# *****START OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "\n",
    "for k in k_choices:\n",
    "    acc_array = np.array([])\n",
    "    for i in range(num_folds):\n",
    "        if i==0:\n",
    "            m_x_train = X_train_folds[1:num_folds]\n",
    "            m_y_train = y_train_folds[1:num_folds]\n",
    "        \n",
    "        elif i==num_folds:\n",
    "            m_x_train = X_train_folds[0:num_folds-1]\n",
    "            m_y_train = y_train_folds[0:num_folds-1]\n",
    "        else:\n",
    "            m_x_train = np.concatenate((X_train_folds[0:i], X_train_folds[i+1:num_folds]), axis=0)\n",
    "            m_y_train = np.concatenate((y_train_folds[0:i], y_train_folds[i+1:num_folds]), axis=0)\n",
    "            \n",
    "        m_x_test = X_train_folds[i:i+1]\n",
    "        m_y_test = y_train_folds[i:i+1]\n",
    "        \n",
    "        m_x_train = m_x_train.reshape(-1, m_x_train.shape[2])\n",
    "        m_y_train = m_y_train.flatten()\n",
    "        m_x_test = m_x_test.reshape(-1, m_x_test.shape[2])\n",
    "        m_y_test = m_y_test.flatten()\n",
    "        \n",
    "#         print(m_x_test.shape)\n",
    "#         print(m_y_test.shape)\n",
    "        \n",
    "        classifier.train(m_x_train, m_y_train)\n",
    "        dists = classifier.compute_distances_no_loops(m_x_test)\n",
    "#         print(dists.shape)\n",
    "\n",
    "        y_test_pred = classifier.predict_labels(dists, k=k)\n",
    "#         print(len(y_test_pred))\n",
    "\n",
    "        # Compute and print the fraction of correctly predicted examples\n",
    "        num_correct = np.sum(y_test_pred == m_y_test)\n",
    "        accuracy = float(num_correct) / len(y_test_pred)\n",
    "#         print('Got %d / %d correct => accuracy: %f' % (num_correct, len(y_test_pred), accuracy))\n",
    "#         print(accuracy)\n",
    "        acc_array = np.append(acc_array, accuracy)\n",
    "    \n",
    "#     print(acc_array)\n",
    "    k_to_accuracies[k] = acc_array\n",
    "        \n",
    "\n",
    "# *****END OF YOUR CODE (DO NOT DELETE/MODIFY THIS LINE)*****\n",
    "\n",
    "# Print out the computed accuracies\n",
    "for k in sorted(k_to_accuracies):\n",
    "    for accuracy in k_to_accuracies[k]:\n",
    "        print('k = %d, accuracy = %f' % (k, accuracy))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {
    "tags": [
     "pdf-ignore-input"
    ]
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot the raw observations\n",
    "for k in k_choices:\n",
    "    accuracies = k_to_accuracies[k]\n",
    "    plt.scatter([k] * len(accuracies), accuracies)\n",
    "\n",
    "# plot the trend line with error bars that correspond to standard deviation\n",
    "accuracies_mean = np.array([np.mean(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "accuracies_std = np.array([np.std(v) for k,v in sorted(k_to_accuracies.items())])\n",
    "plt.errorbar(k_choices, accuracies_mean, yerr=accuracies_std)\n",
    "plt.title('Cross-validation on k')\n",
    "plt.xlabel('k')\n",
    "plt.ylabel('Cross-validation accuracy')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Got 147 / 500 correct => accuracy: 0.294000\n"
     ]
    }
   ],
   "source": [
    "# Based on the cross-validation results above, choose the best value for k,   \n",
    "# retrain the classifier using all the training data, and test it on the test\n",
    "# data. You should be able to get above 28% accuracy on the test data.\n",
    "best_k = 8\n",
    "\n",
    "classifier = KNearestNeighbor()\n",
    "classifier.train(X_train, y_train)\n",
    "y_test_pred = classifier.predict(X_test, k=best_k)\n",
    "\n",
    "# Compute and display the accuracy\n",
    "num_correct = np.sum(y_test_pred == y_test)\n",
    "accuracy = float(num_correct) / num_test\n",
    "print('Got %d / %d correct => accuracy: %f' % (num_correct, num_test, accuracy))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "tags": [
     "pdf-inline"
    ]
   },
   "source": [
    "**Inline Question 3**\n",
    "\n",
    "Which of the following statements about $k$-Nearest Neighbor ($k$-NN) are true in a classification setting, and for all $k$? Select all that apply.\n",
    "1. The decision boundary of the k-NN classifier is linear.\n",
    "2. The training error of a 1-NN will always be lower than that of 5-NN.\n",
    "3. The test error of a 1-NN will always be lower than that of a 5-NN.\n",
    "4. The time needed to classify a test example with the k-NN classifier grows with the size of the training set.\n",
    "5. None of the above.\n",
    "\n",
    "$\\color{blue}{\\textit Your Answer:}$\n",
    "4\n",
    "\n",
    "$\\color{blue}{\\textit Your Explanation:}$\n",
    "\n",
    "1：决策边界非线性\n",
    "2：knn简单的记住训练样本，所以1-nn和5-nn都不存在训练误差\n",
    "3：1-nn和5-nn的测试误差大小不能确定\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
